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K

k - Variable in class messif.operations.query.AggregationFunctionQueryOperation
Number of nearest (top) objects to retrieve
k - Variable in class messif.operations.query.JoinQueryOperation
Number of nearest pairs to retrieve
k - Variable in class messif.operations.query.KNNQueryByLocatorOperation
Number of nearest objects to retrieve
k - Variable in class messif.operations.query.KNNQueryOperation
Number of nearest objects to retrieve
key - Variable in class messif.buckets.index.impl.LongStorageMemoryIndex.KeyAddressPair
 
key - Variable in class messif.buckets.index.impl.LongStorageMemoryIndexStdSer.KeyAddressPair
 
key - Variable in class messif.objects.keys.DoubleKey
The double key
key - Variable in class messif.objects.keys.IntegerKey
The integer key
key - Variable in class messif.objects.keys.LongKey
The long key
key - Variable in class messif.statistics.StatisticSlidingAvgCounter.ValueTime
 
KeyInterval<T extends java.lang.Comparable<? super T>> - Class in messif.objects.keys
Closed interval, comparable by the lower bound.
KeyInterval() - Constructor for class messif.objects.keys.KeyInterval
 
KeyOperator<T extends java.lang.Comparable<? super T>> - Class in messif.objects.keys
This class provides an abstract operator for object keys that have a defined order.
KeyOperator() - Constructor for class messif.objects.keys.KeyOperator
 
keys - Variable in class messif.objects.impl.ObjectFeatureQuantized
List of quantized keys of this feature (e.g.
keySet() - Method in class messif.utility.ArrayMap
 
keyToLocalObjectComparator - Static variable in enum messif.buckets.index.LocalAbstractObjectOrder
Index order defined by object keys
KEYWORD_SPLIT_REGEXP - Static variable in class messif.objects.impl.MetaObjectProfiSCT
Regular expression used to split keywords
KeywordClassification<T> - Class in messif.objects.classification.text
Encapsulation object for the data on which the KeywordClassifier operates.
KeywordClassification(Class<? extends T>, float, float) - Constructor for class messif.objects.classification.text.KeywordClassification
Creates a new instance of keyword classification for the given keyword-representing class.
KeywordClassification(Class<? extends T>, ClassificationWithConfidence<?>) - Constructor for class messif.objects.classification.text.KeywordClassification
Creates a new instance of keyword classification copying the settings from the given classification.
KeywordClassification(ClassificationWithConfidence<? extends T>) - Constructor for class messif.objects.classification.text.KeywordClassification
Creates a new instance of keyword classification copying the settings from the given classification.
KeywordClassifier<I,O> - Interface in messif.objects.classification.text
Special classifier for keywords.
keyWords - Variable in class messif.objects.impl.MetaObjectPixMacSCT
Object for the KeyWordsType
keyWords - Variable in class messif.objects.impl.MetaObjectPixMacShapeAndColor
Object for the KeyWordsType
keyWords - Variable in class messif.objects.impl.MetaObjectProfiSCT
Object for the KeyWordsType
keywordString - Variable in class messif.objects.impl.MetaObjectProfiSCT
Keywords of this object as string (this is not serialized!)
keywordStrings - Variable in class messif.objects.impl.MetaObjectCophirKeywords
Array of keyword strings that are represented by the KeyWordsType identifiers
KMeansComputedPivotChooser - Class in messif.pivotselection
This class uses the k-means algorithm to cluster the objects, so artitifial pivots are created as mean vectors from the cluster objects.
KMeansComputedPivotChooser() - Constructor for class messif.pivotselection.KMeansComputedPivotChooser
 
KMeansComputedPivotChooser(AbstractObjectList<LocalAbstractObject>) - Constructor for class messif.pivotselection.KMeansComputedPivotChooser
 
KMeansPivotChooser - Class in messif.pivotselection
This class uses the k-means algorithm adapted for metric spaces to cluster the objects, so it is k-medoids algorithm in fact.
KMeansPivotChooser() - Constructor for class messif.pivotselection.KMeansPivotChooser
Creates a new instance of KMeansPivotChooser with empty initial list of pivots.
KMeansPivotChooser(boolean) - Constructor for class messif.pivotselection.KMeansPivotChooser
 
KMeansPivotChooser(AbstractObjectList<LocalAbstractObject>) - Constructor for class messif.pivotselection.KMeansPivotChooser
Creates a new instance of KMeansPivotChooser.
KMeansPivotChooser.CenterThread - Class in messif.pivotselection
Internal abract thread for selecting new "center" of a cluster.
KMeansPivotChooser.CenterThread(AbstractObjectList<LocalAbstractObject>, LocalAbstractObject) - Constructor for class messif.pivotselection.KMeansPivotChooser.CenterThread
Creates a new thread for computing the "center" of a cluster.
KMeansPivotChooser.ComputeCentroidThread - Class in messif.pivotselection
Thread for computing a new artifical cluster center as a mean vector of all passed vectors.
KMeansPivotChooser.ComputeCentroidThread(AbstractObjectList<LocalAbstractObject>, LocalAbstractObject) - Constructor for class messif.pivotselection.KMeansPivotChooser.ComputeCentroidThread
 
KMeansPivotChooser.SelectClustroidThread - Class in messif.pivotselection
Thread for selecting the "center" of a cluster.
KMeansPivotChooser.SelectClustroidThread(AbstractObjectList<LocalAbstractObject>, LocalAbstractObject) - Constructor for class messif.pivotselection.KMeansPivotChooser.SelectClustroidThread
Creates a new SelectClustroidThread for computing the "center" of a cluster.
KNNMultiQueryOperation - Class in messif.operations.query
K-nearest neighbors query operation with multiple query objects.
KNNMultiQueryOperation(LocalAbstractObject[], int) - Constructor for class messif.operations.query.KNNMultiQueryOperation
Creates a new instance of KNNMultiQueryOperation for given query objects and maximal number of objects to return.
KNNMultiQueryOperation(LocalAbstractObject[], int, DistanceFunctionMultiObject<? super LocalAbstractObject>) - Constructor for class messif.operations.query.KNNMultiQueryOperation
Creates a new instance of KNNMultiQueryOperation for given query objects and maximal number of objects to return.
KNNMultiQueryOperation(LocalAbstractObject[], int, AnswerType, DistanceFunctionMultiObject<? super LocalAbstractObject>) - Constructor for class messif.operations.query.KNNMultiQueryOperation
Creates a new instance of KNNMultiQueryOperation for given query objects and maximal number of objects to return.
KNNMultiQueryOperation(LocalAbstractObject[], int, boolean, AnswerType, DistanceFunctionMultiObject<? super LocalAbstractObject>) - Constructor for class messif.operations.query.KNNMultiQueryOperation
Creates a new instance of KNNMultiQueryOperation for given query objects and maximal number of objects to return.
KNNOperationClassifier<C> - Class in messif.objects.classification.impl
Implementation of a classifier by k-nearest neighbors operation.
KNNOperationClassifier(Classifier<? super RankingQueryOperation, C>, int, Algorithm, String) - Constructor for class messif.objects.classification.impl.KNNOperationClassifier
Creates a new kNN classifier.
KNNQueryByLocatorOperation - Class in messif.operations.query
K-nearest neighbors query operation for query identified just by locator.
KNNQueryByLocatorOperation(String, int, AnswerType) - Constructor for class messif.operations.query.KNNQueryByLocatorOperation
Creates a new instance of kNNQueryOperation for a given query object and maximal number of objects to return.
KNNQueryByLocatorOperation(String, int) - Constructor for class messif.operations.query.KNNQueryByLocatorOperation
Creates a new instance of kNNQueryOperation for a given query object and maximal number of objects to return.
KNNQueryOperation - Class in messif.operations.query
K-nearest neighbors query operation.
KNNQueryOperation(LocalAbstractObject, int) - Constructor for class messif.operations.query.KNNQueryOperation
Creates a new instance of kNNQueryOperation for a given query object and maximal number of objects to return.
KNNQueryOperation(LocalAbstractObject, int, AnswerType) - Constructor for class messif.operations.query.KNNQueryOperation
Creates a new instance of kNNQueryOperation for a given query object and maximal number of objects to return.
KNNQueryOperation(LocalAbstractObject, int, boolean, AnswerType) - Constructor for class messif.operations.query.KNNQueryOperation
Creates a new instance of kNNQueryOperation for a given query object and maximal number of objects to return.
KNNQueryOperation(LocalAbstractObject, int, boolean, AnswerType, RankedSortedCollection) - Constructor for class messif.operations.query.KNNQueryOperation
Creates a new instance of kNNQueryOperation for a given query object and maximal number of objects to return.
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